t5-small-booksum-finetuned-booksum-test

This model is a fine-tuned version of cnicu/t5-small-booksum on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.2739
• Rouge1: 22.7829
• Rouge2: 4.8349
• Rougel: 18.2465
• Rougelsum: 19.2417

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5.6e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.5123	1.0	8750	3.2816	21.7712	4.3046	17.4053	18.4707
3.2347	2.0	17500	3.2915	22.2938	4.7828	17.8567	18.9135
3.0892	3.0	26250	3.2568	22.4966	4.825	18.0344	19.1306
2.9837	4.0	35000	3.2952	22.6913	5.0322	18.176	19.2751
2.9028	5.0	43750	3.2626	22.3548	4.7521	17.8681	18.7815
2.8441	6.0	52500	3.2691	22.6279	4.932	18.1051	19.0763
2.8006	7.0	61250	3.2753	22.8911	4.8954	18.1204	19.1464
2.7742	8.0	70000	3.2739	22.7829	4.8349	18.2465	19.2417

Framework versions

• Transformers 4.19.1
• Pytorch 1.7.0
• Datasets 2.2.1
• Tokenizers 0.12.1